An enterprise-grade orchestration pipeline utilizing LangGraph and Google Gemini 2.5 Flash to execute distributed sequential research tasks. Features a custom Python logger execution framework for tracking graph nodes and rendering operational states inside a decoupled frontend.
- Deterministic State Graphs: Tasks cleanly transition across specialized worker agents (Researcher -> Analyst -> Reporter).
- Custom Decorator Observability: Logs execution durations, payload context, and pipeline lifecycles dynamically.
- Polling Tracking Dashboard: Decoupled HTML/JS visualizer rendering engine statuses in real-time.
- Live UI Dashboard: https://amandacoding.github.io/autonomous-agent-network/ui/
- Production API Backend:
https://autonomous-agent-network.onrender.com